Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. - Tingyi Wanyan; Martin Kang; Marcus A. Badgeley; Kipp W. Johnson; Jessica K. De Freitas; Fayzan F. Chaudhry; Akhil Vaid; Shan Zhao; Riccardo Miotto; Girish N. Nadkarni; Fei Wang 001; Justin F. Rousseau; et al. (AIME, 2020)

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. - Tingyi Wanyan; Hossein Honarvar; Suraj K. Jaladanki; Chengxi Zang; Nidhi Naik; Sulaiman Somani; Jessica K. De Freitas; Ishan Paranjpe; Akhil Vaid; Riccardo Miotto; Girish N. Nadkarni; Marinka Zitnik; et al. (CoRR, 2021)

Contrastive learning improves critical event prediction in COVID-19 patients. - Tingyi Wanyan; Hossein Honarvar; Suraj K. Jaladanki; Chengxi Zang; Nidhi Naik; Sulaiman Somani; Jessica K. De Freitas; Ishan Paranjpe; Akhil Vaid; Jing Zhang; Riccardo Miotto; Zhangyang Wang; et al. (Patterns, 2021)

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. - Tingyi Wanyan; Akhil Vaid; Jessica K. De Freitas; Sulaiman Somani; Riccardo Miotto; Girish N. Nadkarni; Ariful Azad; Ying Ding 001; Benjamin S. Glicksberg (IEEE Trans. Big Data, 2021)

HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes. - Akhil Vaid; Joy Jiang; Ashwin Sawant; Stamatios Lerakis; Edgar Argulian; Yuri Ahuja; Joshua Lampert; Alexander Charney; Hayit Greenspan; Benjamin S. Glicksberg; Jagat Narula; Girish N. Nadkarni (CoRR, 2022)

A foundational vision transformer improves diagnostic performance for electrocardiograms. - Akhil Vaid; Joy Jiang; Ashwin Sawant; Stamatios Lerakis; Edgar Argulian; Yuri Ahuja; Joshua Lampert; Alexander Charney; Hayit Greenspan; Jagat Narula; Benjamin S. Glicksberg; Girish N. Nadkarni (npj Digit. Medicine, 2023)

Generative Large Language Models are autonomous practitioners of evidence-based medicine. - Akhil Vaid; Joshua Lampert; Juhee Lee; Ashwin Sawant; Donald Apakama; Ankit Sakhuja; Ali Soroush; Denise Lee; Isotta Landi; Nicole Bussola; Ismail Nabeel; Robbie Freeman; et al. (CoRR, 2024)

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. - Benjamin S. Glicksberg; Prem Timsina; Dhaval Patel; Ashwin Sawant; Akhil Vaid; Ganesh Raut; Alexander W. Charney; Donald Apakama; Brendan G. Carr; Robert Freeman; Girish N. Nadkarni; Eyal Klang (J. Am. Medical Informatics Assoc., 2024)

Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. - Akhil Vaid; Son Q. Duong; Joshua Lampert; Patricia H. Kovatch; Robert Freeman; Edgar Argulian; Lori Croft; Stamatios Lerakis; Martin Goldman; Rohan Khera; Girish N. Nadkarni (J. Am. Medical Informatics Assoc., 2024)

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. - Faris F. Gulamali; Pushkala Jayaraman; Ashwin S. Sawant; Jacob Desman; Benjamin Fox; Annette Chang; Brian Y. Soong; Naveen Arivazagan; Alexandra S. Reynolds; Son Q. Duong; Akhil Vaid; Patricia H. Kovatch; et al. (npj Digit. Medicine, 2024)

Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. - Joy Jiang; Ha My Thi Vy; Alexander Charney; Patricia H. Kovatch; Vivek Reddy; Pushkala Jayaraman; Ron Do; Rohan Khera; Sumeet Chugh; Deepak L. Bhatt; Akhil Vaid; Joshua Lampert; et al. (npj Digit. Medicine, 2024)

A strategy for cost-effective large language model use at health system-scale. - Eyal Klang; Donald Apakama; Ethan E. Abbott; Akhil Vaid; Joshua Lampert; Ankit Sakhuja; Robert Freeman; Alexander W. Charney; David Reich; Monica Kraft; Girish N. Nadkarni; Benjamin S. Glicksberg (npj Digit. Medicine, 2024)

AI Agents for Conversational Patient Triage: Preliminary Simulation-Based Evaluation with Real-World EHR Data. - Sina Rashidian; Nan Li; Jonathan Amar; Jong Ha Lee; Sam Pugh; Eric Yang; Geoff Masterson; Myoung Cha; Yugang Jia; Akhil Vaid (CoRR, 2025)